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Weekly Health & AI Digest – April 14, 2025

Here are the latest breakthroughs in health & AI (April 14, 2025 week) 🔹 Novel endometrial receptivity test increases clinical pregnancy and live birth rates in patients with recurrent implantation failure: Secondary analysis of a prospective clinical trial. Endometrial receptivity...

April 14, 2025

Novel endometrial receptivity test increases clinical pregnancy and live birth rates in patients with recurrent implantation failure Secondary analysis of a prospective clinical trial

🤖 Machine Learning 🤰 Obstetrics & Gynecology 👤 Personalized Medicine

Novel endometrial receptivity test increases clinical pregnancy and live birth rates in patients with recurrent implantation failure: Secondary analysis of a prospective clinical trial.

Endometrial receptivity testing boosts clinical pregnancy rates by 22.78% in recurrent implantation failure cases. 📈👶

April 14, 2025

Mapping the use of artificial intelligence in medical education a scoping review

⚖️ AI Ethics 🎓 Digital Health Education 🤖 Machine Learning

Mapping the use of artificial intelligence in medical education: a scoping review.

AI in medical education: 34 studies reveal gaps in curriculum, ethical training, and digital competence. 📚🤖

April 13, 2025

🗣️ Speech-Language

Supporting Speech-Language Pathologists in Schools With Interdisciplinary Team Science: A Viewpoint From the National Artificial Intelligence Institute for Exceptional Education.

Interdisciplinary teamwork enhances speech-language pathology, addressing children's needs with AI technologies. 🤝📊 #TeamScience #CSD

April 13, 2025

ConceptCloudComputingWithDataStreamsTransferringSymbolizingCloudTechnology

🔐 Blockchain 📰 News 🧪 Pathology 🌍 Public Health

Peninsula Pathology Network Adopts Secure Cloud Infrastructure

Peninsula Pathology Network implements secure cloud infrastructure for enhanced collaboration and efficiency in pathology services. 🌐🔬

April 13, 2025

Integrated multi omics analysis and machine learning refine molecular subtypes and clinical outcome for hepatocellular carcinoma

🧬 Genetics 🤖 Machine Learning 🎗 Oncology

Integrated multi-omics analysis and machine learning refine molecular subtypes and clinical outcome for hepatocellular carcinoma.

Recent research highlights the role of multi-omics and machine learning in improving hepatocellular carcinoma outcomes. 📊🔬

April 13, 2025

Cedars Sinais Chief AI Officer Discusses AIs Role in Healthcare

🧠 Digital Therapeutics 🏥 General Practice 🤖 Machine Learning 📰 News 🌍 Public Health

Cedars-Sinai’s Chief AI Officer Discusses AI’s Role in Healthcare

Cedars-Sinai's Chief AI Officer, Mouneer Odeh, discusses AI's growing impact on healthcare and improving caregiver experiences. 🤖🏥

April 13, 2025

Remdesivir associated with reduced mortality in hospitalized COVID 19 patients treatment effectiveness using real world data and natural language processing

🩹 Emergency 😷 Infectious Diseases 🤖 Machine Learning 🌍 Public Health

Remdesivir associated with reduced mortality in hospitalized COVID-19 patients: treatment effectiveness using real-world data and natural language processing.

Remdesivir shows promise in reducing mortality for hospitalized COVID-19 patients. 🏥📉 Real-world data supports its effectiveness.

April 13, 2025

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Weekly Health & AI Digest – April 14, 2025

Novel endometrial receptivity test increases clinical pregnancy and live birth rates in patients with recurrent implantation failure: Secondary analysis of a prospective clinical trial.

Mapping the use of artificial intelligence in medical education: a scoping review.

Supporting Speech-Language Pathologists in Schools With Interdisciplinary Team Science: A Viewpoint From the National Artificial Intelligence Institute for Exceptional Education.

Peninsula Pathology Network Adopts Secure Cloud Infrastructure

Integrated multi-omics analysis and machine learning refine molecular subtypes and clinical outcome for hepatocellular carcinoma.

Cedars-Sinai’s Chief AI Officer Discusses AI’s Role in Healthcare

Remdesivir associated with reduced mortality in hospitalized COVID-19 patients: treatment effectiveness using real-world data and natural language processing.

United Lincolnshire Teaching Hospitals Partners with Nervecentre for Electronic Patient Records

Fine-tuning of language models for automated structuring of medical exam reports to improve patient screening and analysis.

Advancing BCI with a transformer-based model for motor imagery classification.

Argon AI Secures $5.5 Million Seed Funding for Growth and Development

Automated quality evaluation of dental panoramic radiographs using deep learning.

NICE Supports Equal Funding for Health Technologies and Medicines

A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans.

NHS Develops AI System to Enhance Patient Safety

Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification.

Lifeyear Secures £2.4 Million for Remote Cardiovascular Care Platform